A hybrid algorithm based on PBIL algorithm and zooming algorithm

Gao Peng Wang; Li Hua Dou; Jie Chen; Juan Zhang; Chen Chen

A hybrid algorithm based on PBIL algorithm and zooming algorithm

Gao Peng Wang^*
, Li Hua Dou
, Jie Chen
, Juan Zhang
, Chen Chen

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Population based incremental learning (PBIL) algorithm has the advantage of simple execution process, quick and accurate solutions to problem. Aiming at the domino phenomenon of convergence from the highest position to the lowest position of binary coding in PBIL algorithm, a zooming algorithm is employed to improve the search efficiency and solution accuracy. The simulation results based on Benchmark functions of different dimensions verify that the proposed hybrid algorithm has the advantage of global convergence, high solution precision and search efficiency.

Original language	English
Pages (from-to)	1-7
Number of pages	7
Journal	Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
Volume	22
Issue number	1
State	Published - Feb 2009
Externally published	Yes

Keywords

Function Optimization
Hybrid Algorithm
Population Based Incremental Learning (PBIL) Algorithm
Zooming Algorithm

Cite this

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title = "A hybrid algorithm based on PBIL algorithm and zooming algorithm",

abstract = "Population based incremental learning (PBIL) algorithm has the advantage of simple execution process, quick and accurate solutions to problem. Aiming at the domino phenomenon of convergence from the highest position to the lowest position of binary coding in PBIL algorithm, a zooming algorithm is employed to improve the search efficiency and solution accuracy. The simulation results based on Benchmark functions of different dimensions verify that the proposed hybrid algorithm has the advantage of global convergence, high solution precision and search efficiency.",

keywords = "Function Optimization, Hybrid Algorithm, Population Based Incremental Learning (PBIL) Algorithm, Zooming Algorithm",

author = "Wang, \{Gao Peng\} and Dou, \{Li Hua\} and Jie Chen and Juan Zhang and Chen Chen",

year = "2009",

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volume = "22",

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T1 - A hybrid algorithm based on PBIL algorithm and zooming algorithm

AU - Wang, Gao Peng

AU - Dou, Li Hua

AU - Chen, Jie

AU - Zhang, Juan

AU - Chen, Chen

PY - 2009/2

Y1 - 2009/2

N2 - Population based incremental learning (PBIL) algorithm has the advantage of simple execution process, quick and accurate solutions to problem. Aiming at the domino phenomenon of convergence from the highest position to the lowest position of binary coding in PBIL algorithm, a zooming algorithm is employed to improve the search efficiency and solution accuracy. The simulation results based on Benchmark functions of different dimensions verify that the proposed hybrid algorithm has the advantage of global convergence, high solution precision and search efficiency.

AB - Population based incremental learning (PBIL) algorithm has the advantage of simple execution process, quick and accurate solutions to problem. Aiming at the domino phenomenon of convergence from the highest position to the lowest position of binary coding in PBIL algorithm, a zooming algorithm is employed to improve the search efficiency and solution accuracy. The simulation results based on Benchmark functions of different dimensions verify that the proposed hybrid algorithm has the advantage of global convergence, high solution precision and search efficiency.

KW - Function Optimization

KW - Hybrid Algorithm

KW - Population Based Incremental Learning (PBIL) Algorithm

KW - Zooming Algorithm

UR - https://www.scopus.com/pages/publications/63549112859

M3 - 文章

AN - SCOPUS:63549112859

SN - 1003-6059

VL - 22

SP - 1

EP - 7

JO - Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

JF - Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

IS - 1

ER -

A hybrid algorithm based on PBIL algorithm and zooming algorithm

Abstract

Keywords

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